Abstract:In recent years, many methods
have been proposed for forecasting enrollments based on fuzzy time series.
However, the forecasting accuracy rates of the existing methods are not good
enough. In this paper, we present a new method to forecast enrollments based
on fuzzy time series. The proposed method belongs to the first order and
time-variant methods. The historical enrollments of the university of Alabama
are used to illustrate the forecasting process of the proposed method. The
proposed method can get a higher forecasting accuracy rate for forecasting
enrollments than the existing methods.